Movie Dataset Profiling Report

Dataset statistics

Number of variables	19
Number of observations	9798
Missing cells	11439
Missing cells (%)	6.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	152.0 B

Variable types

Text	9
Numeric	6
DateTime	1
Categorical	3

Alerts

`final_budget` is highly overall correlated with `final_domestic_boxoffice` and 1 other fields	High correlation
`final_domestic_boxoffice` is highly overall correlated with `final_budget` and 1 other fields	High correlation
`final_worldwide_boxoffice` is highly overall correlated with `final_budget` and 1 other fields	High correlation
`certificate` is highly imbalanced (50.0%)	Imbalance
`enrichment_source` is highly imbalanced (83.2%)	Imbalance
`imdb_id` has 845 (8.6%) missing values	Missing
`production_companies` has 1408 (14.4%) missing values	Missing
`release_date` has 149 (1.5%) missing values	Missing
`final_year` has 149 (1.5%) missing values	Missing
`director` has 827 (8.4%) missing values	Missing
`star` has 849 (8.7%) missing values	Missing
`certificate` has 1587 (16.2%) missing values	Missing
`rating` has 983 (10.0%) missing values	Missing
`runtime` has 903 (9.2%) missing values	Missing
`genres` has 907 (9.3%) missing values	Missing
`production_countries` has 1001 (10.2%) missing values	Missing
`original_language` has 965 (9.8%) missing values	Missing
`enrichment_source` has 866 (8.8%) missing values	Missing
`final_worldwide_boxoffice` has 428 (4.4%) zeros	Zeros
`final_domestic_boxoffice` has 752 (7.7%) zeros	Zeros

Reproduction

Analysis started	2025-03-31 19:57:07.140236
Analysis finished	2025-03-31 19:57:11.136089
Duration	4 seconds
Software version	ydata-profiling vv4.15.1
Download configuration	config.json

final_title
Text

Distinct	7871
Distinct (%)	80.3%
Missing	0
Missing (%)	0.0%
Memory size	76.7 KiB

Length

Max length	104
Median length	50
Mean length	15.194427
Min length	1

Characters and Unicode

Total characters	148875
Distinct characters	492
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6054 ?
Unique (%)	61.8%

Sample

1st row	#Horror
2nd row	(500) Days of Summer
3rd row	10,000 B.C.
4th row	10,000 BC
5th row	101 Dalmatians

Value	Count	Frequency (%)
the	2934	10.9%
of	857	3.2%
a	334	1.2%
and	269	1.0%
in	240	0.9%
2	214	0.8%
to	187	0.7%
	150	0.6%
man	126	0.5%
movie	92	0.3%
Other values (7165)	21467	79.9%

Most occurring characters

Value	Count	Frequency (%)
	17073	11.5%
e	15136	10.2%
a	9478	6.4%
o	8849	5.9%
n	8111	5.4%
r	7992	5.4%
i	7675	5.2%
t	7307	4.9%
s	5850	3.9%
h	5578	3.7%
Other values (482)	55826	37.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	148875	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	17073	11.5%
e	15136	10.2%
a	9478	6.4%
o	8849	5.9%
n	8111	5.4%
r	7992	5.4%
i	7675	5.2%
t	7307	4.9%
s	5850	3.9%
h	5578	3.7%
Other values (482)	55826	37.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	148875	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	17073	11.5%
e	15136	10.2%
a	9478	6.4%
o	8849	5.9%
n	8111	5.4%
r	7992	5.4%
i	7675	5.2%
t	7307	4.9%
s	5850	3.9%
h	5578	3.7%
Other values (482)	55826	37.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	148875	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	17073	11.5%
e	15136	10.2%
a	9478	6.4%
o	8849	5.9%
n	8111	5.4%
r	7992	5.4%
i	7675	5.2%
t	7307	4.9%
s	5850	3.9%
h	5578	3.7%
Other values (482)	55826	37.5%

final_budget
Real number (ℝ)

High correlation

Distinct	755
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33275943

Minimum	1
Maximum	5.332 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	1
5-th percentile	500000
Q1	5000000
median	17500000
Q3	40000000
95-th percentile	1.3 × 10⁸
Maximum	5.332 × 10⁸
Range	5.332 × 10⁸
Interquartile range (IQR)	35000000

Descriptive statistics

Standard deviation	44332470
Coefficient of variation (CV)	1.3322679
Kurtosis	9.9851176
Mean	33275943
Median Absolute Deviation (MAD)	14225000
Skewness	2.6741561
Sum	3.2603769 × 10¹¹
Variance	1.9653679 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	357	3.6%
10000000	343	3.5%
30000000	308	3.1%
25000000	293	3.0%
15000000	292	3.0%
40000000	281	2.9%
5000000	261	2.7%
50000000	213	2.2%
35000000	212	2.2%
12000000	200	2.0%
Other values (745)	7038	71.8%

Value	Count	Frequency (%)
1	4	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
8	2	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
15	1	< 0.1%

Value	Count	Frequency (%)
533200000	1	< 0.1%
400000000	3	< 0.1%
380000000	1	< 0.1%
379000000	1	< 0.1%
365000000	1	< 0.1%
340000000	1	< 0.1%
330400000	1	< 0.1%
300000000	5	0.1%
290000000	1	< 0.1%
280200000	1	< 0.1%

final_worldwide_boxoffice
Real number (ℝ)

High correlation Zeros

Distinct	8943
Distinct (%)	91.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96943398

Minimum	0
Maximum	2.923706 × 10⁹
Zeros	428
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1432.9
Q1	5401410.8
median	30065016
Q3	1.0232693 × 10⁸
95-th percentile	4.1592791 × 10⁸
Maximum	2.923706 × 10⁹
Range	2.923706 × 10⁹
Interquartile range (IQR)	96925519

Descriptive statistics

Standard deviation	1.8599809 × 10⁸
Coefficient of variation (CV)	1.9186257
Kurtosis	35.144501
Mean	96943398
Median Absolute Deviation (MAD)	29279883
Skewness	4.6845087
Sum	9.4985141 × 10¹¹
Variance	3.459529 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	428	4.4%
2000000	16	0.2%
11000000	15	0.2%
8000000	12	0.1%
10000000	11	0.1%
7000000	10	0.1%
9000000	9	0.1%
6000000	9	0.1%
4000000	8	0.1%
2500000	7	0.1%
Other values (8933)	9273	94.6%

Value	Count	Frequency (%)
0	428	4.4%
1	3	< 0.1%
4	3	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
11	2	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
2923706026	1	< 0.1%
2748242781	1	< 0.1%
2743577587	1	< 0.1%
2320250281	1	< 0.1%
2223048786	1	< 0.1%
2068223624	1	< 0.1%
2056046835	1	< 0.1%
2048359754	1	< 0.1%
1979091486	1	< 0.1%
1921206586	1	< 0.1%

final_domestic_boxoffice
Real number (ℝ)

High correlation Zeros

Distinct	7744
Distinct (%)	79.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43315548

Minimum	0
Maximum	9.3666222 × 10⁸
Zeros	752
Zeros (%)	7.7%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2005226.8
median	17529688
Q3	53267000
95-th percentile	1.7430967 × 10⁸
Maximum	9.3666222 × 10⁸
Range	9.3666222 × 10⁸
Interquartile range (IQR)	51261773

Descriptive statistics

Standard deviation	71688773
Coefficient of variation (CV)	1.6550356
Kurtosis	24.247244
Mean	43315548
Median Absolute Deviation (MAD)	17370700
Skewness	3.9285551
Sum	4.2440574 × 10¹¹
Variance	5.1392802 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	752	7.7%
8000000	12	0.1%
7000000	11	0.1%
10000000	11	0.1%
2000000	9	0.1%
4360000	8	0.1%
4000000	7	0.1%
11000000	6	0.1%
25000000	6	0.1%
36000000	5	0.1%
Other values (7734)	8971	91.6%

Value	Count	Frequency (%)
0	752	7.7%
30	1	< 0.1%
264	1	< 0.1%
310	1	< 0.1%
388	2	< 0.1%
401	1	< 0.1%
423	1	< 0.1%
527	1	< 0.1%
528	1	< 0.1%
673	1	< 0.1%

Value	Count	Frequency (%)
936662225	2	< 0.1%
858373000	1	< 0.1%
814811535	1	< 0.1%
785221649	1	< 0.1%
749766139	1	< 0.1%
718732821	1	< 0.1%
700059566	1	< 0.1%
684075767	1	< 0.1%
678815482	1	< 0.1%
674460013	1	< 0.1%

final_clean_title
Text

Distinct	7810
Distinct (%)	79.7%
Missing	0
Missing (%)	0.0%
Memory size	76.7 KiB

Length

Max length	85
Median length	45
Mean length	13.451929
Min length	1

Characters and Unicode

Total characters	131802
Distinct characters	459
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5934 ?
Unique (%)	60.6%

Sample

1st row	#horror
2nd row	(500)daysofsummer
3rd row	10,000b.c.
4th row	10,000bc
5th row	101dalmatians

Value	Count	Frequency (%)
kingkong	5	0.1%
nightofthelivingdead	4	< 0.1%
shaft	4	< 0.1%
conanthebarbarian	4	< 0.1%
thealamo	4	< 0.1%
houseofwax	4	< 0.1%
cinderella	4	< 0.1%
thesignal	4	< 0.1%
robinhood	4	< 0.1%
ghostbusters	4	< 0.1%
Other values (7779)	9757	99.6%

Most occurring characters

Value	Count	Frequency (%)
e	15739	11.9%
a	10733	8.1%
t	10513	8.0%
o	9262	7.0%
r	8891	6.7%
n	8682	6.6%
i	8499	6.4%
s	7771	5.9%
h	6611	5.0%
l	6051	4.6%
Other values (449)	39050	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	131802	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	15739	11.9%
a	10733	8.1%
t	10513	8.0%
o	9262	7.0%
r	8891	6.7%
n	8682	6.6%
i	8499	6.4%
s	7771	5.9%
h	6611	5.0%
l	6051	4.6%
Other values (449)	39050	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	131802	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	15739	11.9%
a	10733	8.1%
t	10513	8.0%
o	9262	7.0%
r	8891	6.7%
n	8682	6.6%
i	8499	6.4%
s	7771	5.9%
h	6611	5.0%
l	6051	4.6%
Other values (449)	39050	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	131802	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	15739	11.9%
a	10733	8.1%
t	10513	8.0%
o	9262	7.0%
r	8891	6.7%
n	8682	6.6%
i	8499	6.4%
s	7771	5.9%
h	6611	5.0%
l	6051	4.6%
Other values (449)	39050	29.6%

imdb_id
Text

Missing

Distinct	7130
Distinct (%)	79.6%
Missing	845
Missing (%)	8.6%
Memory size	76.7 KiB

Length

Max length	10
Median length	9
Mean length	9.0247962
Min length	9

Characters and Unicode

Total characters	80799
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5310 ?
Unique (%)	59.3%

Sample

1st row	tt3526286
2nd row	tt1022603
3rd row	tt0443649
4th row	tt0443649
5th row	tt0115433

Value	Count	Frequency (%)
tt1325004	3	< 0.1%
tt1073498	3	< 0.1%
tt3470600	3	< 0.1%
tt1318514	2	< 0.1%
tt1034331	2	< 0.1%
tt1821549	2	< 0.1%
tt1559547	2	< 0.1%
tt0141926	2	< 0.1%
tt0498381	2	< 0.1%
tt0388500	2	< 0.1%
Other values (7120)	8930	99.7%

Most occurring characters

Value	Count	Frequency (%)
t	17906	22.2%
0	11679	14.5%
1	8299	10.3%
2	6443	8.0%
4	5820	7.2%
3	5771	7.1%
8	5323	6.6%
6	5105	6.3%
9	4955	6.1%
7	4904	6.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80799	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	17906	22.2%
0	11679	14.5%
1	8299	10.3%
2	6443	8.0%
4	5820	7.2%
3	5771	7.1%
8	5323	6.6%
6	5105	6.3%
9	4955	6.1%
7	4904	6.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80799	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	17906	22.2%
0	11679	14.5%
1	8299	10.3%
2	6443	8.0%
4	5820	7.2%
3	5771	7.1%
8	5323	6.6%
6	5105	6.3%
9	4955	6.1%
7	4904	6.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80799	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	17906	22.2%
0	11679	14.5%
1	8299	10.3%
2	6443	8.0%
4	5820	7.2%
3	5771	7.1%
8	5323	6.6%
6	5105	6.3%
9	4955	6.1%
7	4904	6.1%

production_companies
Text

Missing

Distinct	5976
Distinct (%)	71.2%
Missing	1408
Missing (%)	14.4%
Memory size	76.7 KiB

Length

Max length	473
Median length	220
Mean length	67.089035
Min length	1

Characters and Unicode

Total characters	562877
Distinct characters	128
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4319 ?
Unique (%)	51.5%

Sample

1st row	Centropolis Entertainment, Legendary Pictures, The Department of Trade, Industry and Competition of South Africa, Moonlighting Films, Warner Bros. Pictures
2nd row	Centropolis Entertainment, Legendary Pictures, The Department of Trade, Industry and Competition of South Africa, Moonlighting Films, Warner Bros. Pictures
3rd row	Walt Disney Pictures, Cruella Productions, Kanzaman S.A.M.
4th row	Bad Robot
5th row	Bad Robot

Value	Count	Frequency (%)
pictures	5884	8.5%
productions	4071	5.9%
entertainment	3461	5.0%
films	3449	5.0%
film	1353	2.0%
media	859	1.2%
fox	736	1.1%
the	699	1.0%
warner	691	1.0%
company	680	1.0%
Other values (7294)	47469	68.4%

Most occurring characters

Value	Count	Frequency (%)
	60965	10.8%
e	41595	7.4%
i	41003	7.3%
n	38111	6.8%
t	37753	6.7%
r	34837	6.2%
o	29851	5.3%
a	29580	5.3%
s	26026	4.6%
,	21063	3.7%
Other values (118)	202093	35.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	562877	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	60965	10.8%
e	41595	7.4%
i	41003	7.3%
n	38111	6.8%
t	37753	6.7%
r	34837	6.2%
o	29851	5.3%
a	29580	5.3%
s	26026	4.6%
,	21063	3.7%
Other values (118)	202093	35.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	562877	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	60965	10.8%
e	41595	7.4%
i	41003	7.3%
n	38111	6.8%
t	37753	6.7%
r	34837	6.2%
o	29851	5.3%
a	29580	5.3%
s	26026	4.6%
,	21063	3.7%
Other values (118)	202093	35.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	562877	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	60965	10.8%
e	41595	7.4%
i	41003	7.3%
n	38111	6.8%
t	37753	6.7%
r	34837	6.2%
o	29851	5.3%
a	29580	5.3%
s	26026	4.6%
,	21063	3.7%
Other values (118)	202093	35.9%

release_date
Date

Missing

Distinct	5106
Distinct (%)	52.9%
Missing	149
Missing (%)	1.5%
Memory size	76.7 KiB

Minimum	1915-02-08 00:00:00
Maximum	2068-12-11 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

final_year
Real number (ℝ)

Missing

Distinct	144
Distinct (%)	1.5%
Missing	149
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	2005.1106

Minimum	1915
Maximum	2068
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	1915
5-th percentile	1980
Q1	1999
median	2007
Q3	2014
95-th percentile	2021
Maximum	2068
Range	153
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	14.583461
Coefficient of variation (CV)	0.0072731456
Kurtosis	5.7825191
Mean	2005.1106
Median Absolute Deviation (MAD)	7
Skewness	-0.81713557
Sum	19347312
Variance	212.67734
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2015	451	4.6%
2011	405	4.1%
2016	401	4.1%
2010	400	4.1%
2014	395	4.0%
2006	386	3.9%
2008	383	3.9%
2013	379	3.9%
2012	364	3.7%
2009	359	3.7%
Other values (134)	5726	58.4%

Value	Count	Frequency (%)
1915	2	< 0.1%
1916	1	< 0.1%
1921	1	< 0.1%
1922	1	< 0.1%
1924	1	< 0.1%
1925	5	0.1%
1927	2	< 0.1%
1928	3	< 0.1%
1929	1	< 0.1%
1930	1	< 0.1%

Value	Count	Frequency (%)
2068	8	0.1%
2067	9	0.1%
2066	6	0.1%
2065	7	0.1%
2064	8	0.1%
2063	8	0.1%
2062	8	0.1%
2061	5	0.1%
2060	5	0.1%
2059	4	< 0.1%

director
Text

Missing

Distinct	3362
Distinct (%)	37.5%
Missing	827
Missing (%)	8.4%
Memory size	76.7 KiB

Length

Max length	330
Median length	152
Mean length	14.209899
Min length	3

Characters and Unicode

Total characters	127477
Distinct characters	106
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1889 ?
Unique (%)	21.1%

Sample

1st row	Tara Subkoff
2nd row	Marc Webb
3rd row	Roland Emmerich
4th row	Roland Emmerich
5th row	Stephen Herek

Value	Count	Frequency (%)
john	347	1.7%
david	297	1.5%
michael	242	1.2%
peter	173	0.9%
robert	166	0.8%
james	165	0.8%
paul	142	0.7%
scott	120	0.6%
richard	119	0.6%
lee	118	0.6%
Other values (4219)	18187	90.6%

Most occurring characters

Value	Count	Frequency (%)
e	11805	9.3%
	11106	8.7%
a	10244	8.0%
n	8975	7.0%
r	8571	6.7%
o	7389	5.8%
i	7294	5.7%
l	5889	4.6%
t	4502	3.5%
s	4155	3.3%
Other values (96)	47547	37.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	127477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11805	9.3%
	11106	8.7%
a	10244	8.0%
n	8975	7.0%
r	8571	6.7%
o	7389	5.8%
i	7294	5.7%
l	5889	4.6%
t	4502	3.5%
s	4155	3.3%
Other values (96)	47547	37.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	127477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11805	9.3%
	11106	8.7%
a	10244	8.0%
n	8975	7.0%
r	8571	6.7%
o	7389	5.8%
i	7294	5.7%
l	5889	4.6%
t	4502	3.5%
s	4155	3.3%
Other values (96)	47547	37.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	127477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11805	9.3%
	11106	8.7%
a	10244	8.0%
n	8975	7.0%
r	8571	6.7%
o	7389	5.8%
i	7294	5.7%
l	5889	4.6%
t	4502	3.5%
s	4155	3.3%
Other values (96)	47547	37.3%

star
Text

Missing

Distinct	7240
Distinct (%)	80.9%
Missing	849
Missing (%)	8.7%
Memory size	76.7 KiB

Length

Max length	89
Median length	79
Mean length	57.603196
Min length	9

Characters and Unicode

Total characters	515491
Distinct characters	130
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5592 ?
Unique (%)	62.5%

Sample

1st row	Sadie Seelert, Haley Murphy, Bridget McGarry
2nd row	Zooey Deschanel, Joseph Gordon-Levitt, Geoffrey Arend
3rd row	Steven Strait, Camilla Belle, Cliff Curtis, Nathanael Baring
4th row	Steven Strait, Camilla Belle, Cliff Curtis, Nathanael Baring
5th row	Glenn Close, Jeff Daniels, Joely Richardson

Value	Count	Frequency (%)
john	648	0.9%
michael	590	0.8%
james	460	0.6%
robert	399	0.5%
david	387	0.5%
tom	343	0.5%
jason	288	0.4%
chris	270	0.4%
kevin	265	0.4%
jennifer	248	0.3%
Other values (10885)	68883	94.6%

Most occurring characters

Value	Count	Frequency (%)
	63835	12.4%
e	43742	8.5%
a	41963	8.1%
n	33949	6.6%
r	28763	5.6%
i	28537	5.5%
,	26322	5.1%
o	25626	5.0%
l	23476	4.6%
t	16459	3.2%
Other values (120)	182819	35.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	515491	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	63835	12.4%
e	43742	8.5%
a	41963	8.1%
n	33949	6.6%
r	28763	5.6%
i	28537	5.5%
,	26322	5.1%
o	25626	5.0%
l	23476	4.6%
t	16459	3.2%
Other values (120)	182819	35.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	515491	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	63835	12.4%
e	43742	8.5%
a	41963	8.1%
n	33949	6.6%
r	28763	5.6%
i	28537	5.5%
,	26322	5.1%
o	25626	5.0%
l	23476	4.6%
t	16459	3.2%
Other values (120)	182819	35.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	515491	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	63835	12.4%
e	43742	8.5%
a	41963	8.1%
n	33949	6.6%
r	28763	5.6%
i	28537	5.5%
,	26322	5.1%
o	25626	5.0%
l	23476	4.6%
t	16459	3.2%
Other values (120)	182819	35.5%

_merge
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.7 KiB

right_only	4578
left_only	3198
both	2022

Length

Max length	10
Median length	9
Mean length	8.435395
Min length	4

Characters and Unicode

Total characters	82650
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	both
2nd row	both
3rd row	right_only
4th row	left_only
5th row	left_only

Common Values

Value	Count	Frequency (%)
right_only	4578	46.7%
left_only	3198	32.6%
both	2022	20.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
right_only	4578	46.7%
left_only	3198	32.6%
both	2022	20.6%

Most occurring characters

Value	Count	Frequency (%)
l	10974	13.3%
t	9798	11.9%
o	9798	11.9%
_	7776	9.4%
n	7776	9.4%
y	7776	9.4%
h	6600	8.0%
r	4578	5.5%
i	4578	5.5%
g	4578	5.5%
Other values (3)	8418	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82650	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	10974	13.3%
t	9798	11.9%
o	9798	11.9%
_	7776	9.4%
n	7776	9.4%
y	7776	9.4%
h	6600	8.0%
r	4578	5.5%
i	4578	5.5%
g	4578	5.5%
Other values (3)	8418	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82650	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	10974	13.3%
t	9798	11.9%
o	9798	11.9%
_	7776	9.4%
n	7776	9.4%
y	7776	9.4%
h	6600	8.0%
r	4578	5.5%
i	4578	5.5%
g	4578	5.5%
Other values (3)	8418	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82650	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	10974	13.3%
t	9798	11.9%
o	9798	11.9%
_	7776	9.4%
n	7776	9.4%
y	7776	9.4%
h	6600	8.0%
r	4578	5.5%
i	4578	5.5%
g	4578	5.5%
Other values (3)	8418	10.2%

certificate
Categorical

Imbalance Missing

Distinct	13
Distinct (%)	0.2%
Missing	1587
Missing (%)	16.2%
Memory size	76.7 KiB

R	3607
PG-13	2696
PG	1351
G	249
NR	249
Other values (8)	59

Length

Max length	9
Median length	8
Mean length	2.549385
Min length	1

Characters and Unicode

Total characters	20933
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Not Rated
2nd row	PG-13
3rd row	PG-13
4th row	PG-13
5th row	G

Common Values

Value	Count	Frequency (%)
R	3607	36.8%
PG-13	2696	27.5%
PG	1351	13.8%
G	249	2.5%
NR	249	2.5%
NC-17	27	0.3%
Not Rated	20	0.2%
Approved	5	0.1%
Unrated	2	< 0.1%
PG-13	2	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	1587	16.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	3607	43.8%
pg-13	2698	32.8%
pg	1351	16.4%
g	249	3.0%
nr	249	3.0%
nc-17	27	0.3%
not	20	0.2%
rated	20	0.2%
approved	5	0.1%
unrated	2	< 0.1%
Other values (3)	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
G	4298	20.5%
P	4050	19.3%
R	3876	18.5%
-	2727	13.0%
1	2726	13.0%
3	2698	12.9%
N	296	1.4%
t	42	0.2%
d	28	0.1%
e	28	0.1%
Other values (16)	164	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20933	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
G	4298	20.5%
P	4050	19.3%
R	3876	18.5%
-	2727	13.0%
1	2726	13.0%
3	2698	12.9%
N	296	1.4%
t	42	0.2%
d	28	0.1%
e	28	0.1%
Other values (16)	164	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20933	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
G	4298	20.5%
P	4050	19.3%
R	3876	18.5%
-	2727	13.0%
1	2726	13.0%
3	2698	12.9%
N	296	1.4%
t	42	0.2%
d	28	0.1%
e	28	0.1%
Other values (16)	164	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20933	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
G	4298	20.5%
P	4050	19.3%
R	3876	18.5%
-	2727	13.0%
1	2726	13.0%
3	2698	12.9%
N	296	1.4%
t	42	0.2%
d	28	0.1%
e	28	0.1%
Other values (16)	164	0.8%

rating
Real number (ℝ)

Missing

Distinct	1723
Distinct (%)	19.5%
Missing	983
Missing (%)	10.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4313958

Minimum	0.5
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	0.5
5-th percentile	4.9
Q1	5.9
median	6.5
Q3	7.0015
95-th percentile	7.7986
Maximum	10
Range	9.5
Interquartile range (IQR)	1.1015

Descriptive statistics

Standard deviation	0.89636096
Coefficient of variation (CV)	0.13937269
Kurtosis	2.1521949
Mean	6.4313958
Median Absolute Deviation (MAD)	0.546
Skewness	-0.63388987
Sum	56692.754
Variance	0.80346297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.5	290	3.0%
6.2	266	2.7%
6.6	262	2.7%
6	262	2.7%
6.3	261	2.7%
6.4	255	2.6%
6.7	245	2.5%
6.1	244	2.5%
6.9	215	2.2%
5.8	211	2.2%
Other values (1713)	6304	64.3%
(Missing)	983	10.0%

Value	Count	Frequency (%)
0.5	2	< 0.1%
1	2	< 0.1%
1.2	1	< 0.1%
1.5	1	< 0.1%
1.9	1	< 0.1%
2	4	< 0.1%
2.056	1	< 0.1%
2.4	2	< 0.1%
2.5	4	< 0.1%
2.6	1	< 0.1%

Value	Count	Frequency (%)
10	10	0.1%
9.8	1	< 0.1%
9	1	< 0.1%
8.708	1	< 0.1%
8.7	2	< 0.1%
8.6	2	< 0.1%
8.566	2	< 0.1%
8.549	1	< 0.1%
8.538	2	< 0.1%
8.519	2	< 0.1%

runtime
Real number (ℝ)

Missing

Distinct	199
Distinct (%)	2.2%
Missing	903
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	108.1765

Minimum	2
Maximum	339
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.7 KiB

Quantile statistics

Minimum	2
5-th percentile	83
Q1	95
median	105
Q3	119
95-th percentile	145
Maximum	339
Range	337
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	22.155153
Coefficient of variation (CV)	0.20480559
Kurtosis	5.9755883
Mean	108.1765
Median Absolute Deviation (MAD)	12
Skewness	0.73393337
Sum	962230
Variance	490.85079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98	246	2.5%
90	245	2.5%
100	241	2.5%
95	234	2.4%
97	229	2.3%
104	215	2.2%
107	213	2.2%
101	213	2.2%
105	211	2.2%
99	203	2.1%
Other values (189)	6645	67.8%
(Missing)	903	9.2%

Value	Count	Frequency (%)
2	2	< 0.1%
3	3	< 0.1%
4	1	< 0.1%
5	5	0.1%
6	2	< 0.1%
7	4	< 0.1%
8	4	< 0.1%
9	1	< 0.1%
10	3	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
339	1	< 0.1%
266	1	< 0.1%
254	1	< 0.1%
251	1	< 0.1%
242	1	< 0.1%
240	1	< 0.1%
233	1	< 0.1%
229	1	< 0.1%
228	1	< 0.1%
225	1	< 0.1%

genres
Text

Missing

Distinct	1703
Distinct (%)	19.2%
Missing	907
Missing (%)	9.3%
Memory size	76.7 KiB

Length

Max length	73
Median length	61
Mean length	21.511978
Min length	5

Characters and Unicode

Total characters	191263
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	812 ?
Unique (%)	9.1%

Sample

1st row	Crime, Drama, Horror
2nd row	Comedy, Drama, Romance
3rd row	Adventure, Action, Drama, Fantasy
4th row	Adventure, Action, Drama, Fantasy
5th row	Adventure, Comedy, Crime

Value	Count	Frequency (%)
drama	4129	16.6%
comedy	3148	12.7%
action	2338	9.4%
thriller	2331	9.4%
adventure	1778	7.2%
romance	1665	6.7%
crime	1449	5.8%
horror	1056	4.3%
science	1044	4.2%
fiction	1044	4.2%
Other values (16)	4820	19.4%

Most occurring characters

Value	Count	Frequency (%)
r	17127	9.0%
	15911	8.3%
e	15473	8.1%
,	14839	7.8%
a	13902	7.3%
i	12259	6.4%
m	12101	6.3%
o	11598	6.1%
n	10230	5.3%
t	8238	4.3%
Other values (23)	59585	31.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	191263	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	17127	9.0%
	15911	8.3%
e	15473	8.1%
,	14839	7.8%
a	13902	7.3%
i	12259	6.4%
m	12101	6.3%
o	11598	6.1%
n	10230	5.3%
t	8238	4.3%
Other values (23)	59585	31.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	191263	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	17127	9.0%
	15911	8.3%
e	15473	8.1%
,	14839	7.8%
a	13902	7.3%
i	12259	6.4%
m	12101	6.3%
o	11598	6.1%
n	10230	5.3%
t	8238	4.3%
Other values (23)	59585	31.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	191263	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	17127	9.0%
	15911	8.3%
e	15473	8.1%
,	14839	7.8%
a	13902	7.3%
i	12259	6.4%
m	12101	6.3%
o	11598	6.1%
n	10230	5.3%
t	8238	4.3%
Other values (23)	59585	31.2%

production_countries
Text

Missing

Distinct	775
Distinct (%)	8.8%
Missing	1001
Missing (%)	10.2%
Memory size	76.7 KiB

Length

Max length	111
Median length	24
Mean length	26.902694
Min length	4

Characters and Unicode

Total characters	236663
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	458 ?
Unique (%)	5.2%

Sample

1st row	United States
2nd row	United States
3rd row	United States of America, South Africa, New Zealand
4th row	United States of America, South Africa, New Zealand
5th row	United States, United Kingdom

Value	Count	Frequency (%)
united	9086	24.4%
states	7670	20.6%
of	7314	19.6%
america	7314	19.6%
kingdom	1391	3.7%
france	688	1.8%
germany	565	1.5%
canada	507	1.4%
japan	190	0.5%
australia	189	0.5%
Other values (108)	2332	6.3%

Most occurring characters

Value	Count	Frequency (%)
	28449	12.0%
e	26361	11.1%
t	25046	10.6%
a	20214	8.5%
i	19188	8.1%
n	13814	5.8%
d	11548	4.9%
m	9527	4.0%
r	9380	4.0%
o	9372	4.0%
Other values (40)	63764	26.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	236663	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	28449	12.0%
e	26361	11.1%
t	25046	10.6%
a	20214	8.5%
i	19188	8.1%
n	13814	5.8%
d	11548	4.9%
m	9527	4.0%
r	9380	4.0%
o	9372	4.0%
Other values (40)	63764	26.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	236663	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	28449	12.0%
e	26361	11.1%
t	25046	10.6%
a	20214	8.5%
i	19188	8.1%
n	13814	5.8%
d	11548	4.9%
m	9527	4.0%
r	9380	4.0%
o	9372	4.0%
Other values (40)	63764	26.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	236663	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	28449	12.0%
e	26361	11.1%
t	25046	10.6%
a	20214	8.5%
i	19188	8.1%
n	13814	5.8%
d	11548	4.9%
m	9527	4.0%
r	9380	4.0%
o	9372	4.0%
Other values (40)	63764	26.9%

original_language
Text

Missing

Distinct	165
Distinct (%)	1.9%
Missing	965
Missing (%)	9.8%
Memory size	76.7 KiB

Length

Max length	87
Median length	7
Mean length	7.2580097
Min length	3

Characters and Unicode

Total characters	64110
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	1.0%

Sample

1st row	English
2nd row	English, French, Swedish
3rd row	English
4th row	English
5th row	English, Spanish

Value	Count	Frequency (%)
english	7412	81.0%
french	282	3.1%
spanish	237	2.6%
german	177	1.9%
mandarin	109	1.2%
japanese	105	1.1%
arabic	84	0.9%
hindi	83	0.9%
russian	72	0.8%
italian	65	0.7%
Other values (78)	521	5.7%

Most occurring characters

Value	Count	Frequency (%)
n	9067	14.1%
i	8441	13.2%
s	8120	12.7%
h	8069	12.6%
l	7553	11.8%
g	7543	11.8%
E	7416	11.6%
a	1537	2.4%
e	1091	1.7%
r	831	1.3%
Other values (42)	4442	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	64110	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	9067	14.1%
i	8441	13.2%
s	8120	12.7%
h	8069	12.6%
l	7553	11.8%
g	7543	11.8%
E	7416	11.6%
a	1537	2.4%
e	1091	1.7%
r	831	1.3%
Other values (42)	4442	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	64110	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	9067	14.1%
i	8441	13.2%
s	8120	12.7%
h	8069	12.6%
l	7553	11.8%
g	7543	11.8%
E	7416	11.6%
a	1537	2.4%
e	1091	1.7%
r	831	1.3%
Other values (42)	4442	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	64110	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	9067	14.1%
i	8441	13.2%
s	8120	12.7%
h	8069	12.6%
l	7553	11.8%
g	7543	11.8%
E	7416	11.6%
a	1537	2.4%
e	1091	1.7%
r	831	1.3%
Other values (42)	4442	6.9%

enrichment_source
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	866
Missing (%)	8.8%
Memory size	76.7 KiB

tmdb	8540
omdb_id	383
omdb_title	9

Length

Max length	10
Median length	4
Mean length	4.1346843
Min length	4

Characters and Unicode

Total characters	36931
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	omdb_id
2nd row	omdb_id
3rd row	tmdb
4th row	tmdb
5th row	omdb_id

Common Values

Value	Count	Frequency (%)
tmdb	8540	87.2%
omdb_id	383	3.9%
omdb_title	9	0.1%
(Missing)	866	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tmdb	8540	95.6%
omdb_id	383	4.3%
omdb_title	9	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	9315	25.2%
m	8932	24.2%
b	8932	24.2%
t	8558	23.2%
o	392	1.1%
_	392	1.1%
i	392	1.1%
l	9	< 0.1%
e	9	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36931	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	9315	25.2%
m	8932	24.2%
b	8932	24.2%
t	8558	23.2%
o	392	1.1%
_	392	1.1%
i	392	1.1%
l	9	< 0.1%
e	9	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36931	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	9315	25.2%
m	8932	24.2%
b	8932	24.2%
t	8558	23.2%
o	392	1.1%
_	392	1.1%
i	392	1.1%
l	9	< 0.1%
e	9	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36931	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	9315	25.2%
m	8932	24.2%
b	8932	24.2%
t	8558	23.2%
o	392	1.1%
_	392	1.1%
i	392	1.1%
l	9	< 0.1%
e	9	< 0.1%

	_merge	certificate	enrichment_source	final_budget	final_domestic_boxoffice	final_worldwide_boxoffice	final_year	rating	runtime
_merge	1.000	0.075	0.130	0.046	0.018	0.028	0.261	0.069	0.072
certificate	0.075	1.000	0.348	0.108	0.075	0.075	0.248	0.040	0.094
enrichment_source	0.130	0.348	1.000	0.000	0.000	0.000	0.035	0.020	0.033
final_budget	0.046	0.108	0.000	1.000	0.668	0.724	0.106	0.057	0.321
final_domestic_boxoffice	0.018	0.075	0.000	0.668	1.000	0.926	-0.093	0.256	0.252
final_worldwide_boxoffice	0.028	0.075	0.000	0.724	0.926	1.000	0.019	0.281	0.294
final_year	0.261	0.248	0.035	0.106	-0.093	0.019	1.000	-0.011	0.005
rating	0.069	0.040	0.020	0.057	0.256	0.281	-0.011	1.000	0.394
runtime	0.072	0.094	0.033	0.321	0.252	0.294	0.005	0.394	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	final_title	final_budget	final_worldwide_boxoffice	final_domestic_boxoffice	final_clean_title	imdb_id	production_companies	release_date	final_year	director	star	_merge	certificate	rating	runtime	genres	production_countries	original_language	enrichment_source
0	#Horror	1500000.0	0.0	0.0	#horror	tt3526286	NaN	2015-11-20	2015.0	Tara Subkoff	Sadie Seelert, Haley Murphy, Bridget McGarry	both	Not Rated	3.100	97.0	Crime, Drama, Horror	United States	English	omdb_id
1	(500) Days of Summer	7500000.0	34515303.0	32425665.0	(500)daysofsummer	tt1022603	NaN	2009-07-17	2009.0	Marc Webb	Zooey Deschanel, Joseph Gordon-Levitt, Geoffrey Arend	both	PG-13	7.700	95.0	Comedy, Drama, Romance	United States	English, French, Swedish	omdb_id
2	10,000 B.C.	105000000.0	269065678.0	94784201.0	10,000b.c.	tt0443649	Centropolis Entertainment, Legendary Pictures, The Department of Trade, Industry and Competition of South Africa, Moonlighting Films, Warner Bros. Pictures	2008-03-07	2008.0	Roland Emmerich	Steven Strait, Camilla Belle, Cliff Curtis, Nathanael Baring	right_only	PG-13	5.500	109.0	Adventure, Action, Drama, Fantasy	United States of America, South Africa, New Zealand	English	tmdb
3	10,000 BC	105000000.0	269784201.0	94784201.0	10,000bc	tt0443649	Centropolis Entertainment, Legendary Pictures, The Department of Trade, Industry and Competition of South Africa, Moonlighting Films, Warner Bros. Pictures	2008-02-22	2008.0	Roland Emmerich	Steven Strait, Camilla Belle, Cliff Curtis, Nathanael Baring	left_only	PG-13	5.500	109.0	Adventure, Action, Drama, Fantasy	United States of America, South Africa, New Zealand	English	tmdb
4	101 Dalmatians	54000000.0	320689294.0	136189294.0	101dalmatians	tt0115433	NaN	1996-11-17	1996.0	Stephen Herek	Glenn Close, Jeff Daniels, Joely Richardson	left_only	G	5.700	103.0	Adventure, Comedy, Crime	United States, United Kingdom	English, Spanish	omdb_id
5	102 Dalmatians	85000000.0	183611771.0	66957026.0	102dalmatians	tt0211181	NaN	2000-10-07	2000.0	Kevin Lima	Glenn Close, Gérard Depardieu, Ioan Gruffudd	left_only	G	4.900	100.0	Adventure, Comedy, Family	United States, United Kingdom, Monaco	English	omdb_id
6	102 Dalmatians	85000000.0	66941559.0	66941559.0	102dalmatians	tt0211181	Walt Disney Pictures, Cruella Productions, Kanzaman S.A.M.	2000-11-22	2000.0	Kevin Lima	Glenn Close, Gérard Depardieu, Ioan Gruffudd, Alice Evans	right_only	G	5.500	100.0	Family, Comedy	United States of America	English	tmdb
7	10 Cloverfield Lane	15000000.0	108286422.0	72082999.0	10cloverfieldlane	tt1179933	Bad Robot	2016-01-04	2016.0	Dan Trachtenberg	John Goodman, Mary Elizabeth Winstead, John Gallagher Jr., Douglas M. Griffin	right_only	PG-13	6.993	104.0	Thriller, Science Fiction, Drama, Horror	United States of America	English	tmdb
8	10 Cloverfield Lane	15000000.0	110216998.0	72082998.0	10cloverfieldlane	tt1179933	Bad Robot	2016-03-10	2016.0	Dan Trachtenberg	John Goodman, Mary Elizabeth Winstead, John Gallagher Jr., Douglas M. Griffin	left_only	PG-13	6.993	104.0	Thriller, Science Fiction, Drama, Horror	United States of America	English	tmdb
9	10 Days in a Madhouse	12000000.0	14616.0	14616.0	10daysinamadhouse	tt3453052	NaN	2015-11-11	2015.0	Timothy Hines	Caroline Barry, Christopher Lambert, Kelly LeBrock, Julia Chantrey	right_only	NaN	4.500	111.0	Drama	United States of America	English	tmdb

	final_title	final_budget	final_worldwide_boxoffice	final_domestic_boxoffice	final_clean_title	imdb_id	production_companies	release_date	final_year	director	star	_merge	certificate	rating	runtime	genres	production_countries	original_language	enrichment_source
9788	마더	5000000.0	17112713.0	547292.0	마더	tt1216496	Barunson E&A, CJ Entertainment	2009-05-28	2009.0	Bong Joon Ho	Kim Hye-ja, Won Bin, Jin Goo, Yoon Je-moon	left_only	R	7.700	129.0	Crime, Drama, Mystery	South Korea	Korean	tmdb
9789	명량	9500000.0	112156811.0	2589811.0	명량	tt3541262	Big Stone Pictures	2014-07-30	2014.0	Kim Han-min	Choi Min-sik, Ryu Seung-ryong, Cho Jin-woong, Jin Goo	left_only	NaN	7.000	126.0	War, Action, Drama, History	South Korea	Japanese	tmdb
9790	베를린	9000000.0	48965210.0	665210.0	베를린	tt2357377	CJ Entertainment, Filmmaker R&K, Union Investment Partners	2013-01-30	2013.0	Ryoo Seung-wan	Ha Jung-woo, Han Suk-kyu, Ryoo Seung-bum, Jun Ji-hyun	left_only	NaN	6.700	120.0	Action, Thriller, Crime	South Korea	German	tmdb
9791	복수는 나의 것	4000000.0	1954937.0	45289.0	복수는나의것	tt0310775	CJ Entertainment, Studio Box	2002-03-29	2002.0	Park Chan-wook	Song Kang-ho, Shin Ha-kyun, Bae Doona, Im Ji-eun	left_only	R	7.464	129.0	Action, Drama, Thriller	South Korea	Korean	tmdb
9792	부산행	8820000.0	2129768.0	2129768.0	부산행	tt5700672	Next Entertainment World, RedPeter Films, Contents Panda, Union Investment Partners, KTB Network	2016-07-20	2016.0	Yeon Sang-ho	Gong Yoo, Kim Su-an, Jung Yu-mi, Don Lee	left_only	NR	7.750	118.0	Horror, Thriller, Action, Adventure	South Korea	Korean	tmdb
9793	섬	50000.0	21075.0	21075.0	섬	tt0255589	Myung Films, CJ Entertainment	2000-04-22	2000.0	Kim Ki-duk	Kim Yu-seok, Suh Jung, Seo Won, Son Min-seok	left_only	NaN	6.956	90.0	Drama, Thriller	South Korea	Korean	tmdb
9794	아가씨	8575000.0	1983204.0	2006788.0	아가씨	tt4016934	Moho Film, Yong Film, CJ Entertainment	2016-06-01	2016.0	Park Chan-wook	Kim Min-hee, Kim Tae-ri, Ha Jung-woo, Cho Jin-woong	left_only	R	8.200	145.0	Thriller, Drama, Romance	South Korea	Japanese	tmdb
9795	올드보이	3000000.0	14980005.0	707481.0	올드보이	tt0364569	Show East, Egg Film, Cineclick Asia	2003-01-01	2003.0	Park Chan-wook	Choi Min-sik, Yoo Ji-tae, Kang Hye-jung, Kim Byeong-ok	left_only	R	8.251	120.0	Drama, Thriller, Mystery, Action	South Korea	Korean	tmdb
9796	최종병기 활	8000000.0	49000000.0	251200.0	최종병기활	tt2025526	Lotte Entertainment, Dasepo Club, DCG Plus, Sovik Venture Capital	2011-08-10	2011.0	Kim Han-min	Park Hae-il, Moon Chae-won, Kim Moo-yul, Ryu Seung-ryong	left_only	NR	7.200	122.0	Drama, Action, History	South Korea, United States of America	Korean	tmdb
9797	피에타	103000.0	3623330.0	21932.0	피에타	tt2299842	Next Entertainment World, Kim Ki Duk Film, Finecut	2012-09-05	2012.0	Kim Ki-duk	Cho Min-soo, Lee Jung-jin, Woo Ki-hong, Kang Eun-jin	left_only	NR	7.100	104.0	Drama	South Korea	Korean	tmdb

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category